Challenges in Developing Semantic: User Adoption and Compatibility

In this episode, I talk with Emmanuel Turlay, Founder & CEO of Sematic, about the pivotal role of AI in Machine Learning infrastructure. Emmanuel shares his expertise in designing and building platforms for Machine Learning pipelines at scale, discussing key components such as data warehousing, feature stores, model stores, and more. We delve into the challenges and advancements in Machine Learning infrastructure, exploring how it shapes the landscape for impactful and scalable AI applications.

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